General information
Examination dates Prof. Redenbach:
September, 23th 2022 (no more appointments available)
October, 13th 2022
Examination dates Dr. Stockis:
October, 7th 2022
Please register yourself in person at the office of Sarah Miezal (Building 48, 535). Please bring your student ID with you.
Below are the lectures offered by our working group in the winter semester.
If you would like to write a Bachelor's or Master's thesis in Statistics, please contact Prof. Redenbach.
Lectures in winter term
Below are the lectures offered by our working group in the winter term 2022/2023.
Mathematical Statistics
Contents
- Asymptotic analysis of M-estimators, especially of Maximum-Likelihood-estimators
- Bayes and Minimax-estimators
- Likelihood-ratio-tests: asymptotic analysis and examples (t-test, chi²-goodness-of-fit-test)
- Glivenko-Cantelli-theorem, Kolmogorov-Smirnov-test
- Differentiable statistic functionals and examples of applications (derivation of asymptotic results, robustness)
- Resampling methods on the basis of Bootstrap.
Doctoral Seminar Stochastic Geometry and Mathematical Image Processing
Proseminar Fundamentals of Image Processing
Seminar Bayesian Statistics
The Reading Course serves as preparation for the Master's thesis. The assignment of topics takes place individually. Please contact Prof. Redenbach if you would like to take a Reading Course in Statistics.